Completely Random Design and Least Significant Differences for Breast Cancer in Al-Najaf City (2005-2009)

Abstract:In this study, we evaluate breast cancer in Al-Najaf city in Iraq for the period 2005-2009. The data is analyzed using completely random design to explain the significant difference between all variables: age, tumors level, occupation, marital status and education. And least significant differences to find all differences between the pairs of treatments. The differences greater than or equal to the least significant difference are significant. In the results, ANOVA Table explain there is a significant different between age groups, levels of Tumor, occupation groups, marital status groups, and finally education groups. LSD values explain there is a significant different between three age groups only, that is (21-30), (31-40), (41-50). But, we can see a significant different for one group only of level of tumor that is level 4. Also, there exists one significant different group for occupation that is unemployed group. But, we can see one significant different group that is married group. And, there are three significant different groups for education that is ittiteracy, primary, and secondary group.